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Kore.ai

Sales Engineer

Posted 2 months ago
5-10 years experience
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AI Summary

The Sales Engineer will articulate the platform's value proposition, demonstrate product features, and collaborate with technical teams to design and implement solutions. They will also act as a bridge between customers and the product management team to drive product enhancements and ensure customer success.


POSITION / TITLE:  SALES ENGINEER

 

Sales Engineers will work with and learn from a variety of technical leaders within Kore.ai to ensure they fully understand how to represent our technology, answer questions related to the competition, talk about the NLU / AI landscape and why we’re differentiated in the marketplace. They will serve as an important conduit back into the product management team to continue to enhance the product while documenting frequently asked questions on how we address client objections.

 

LOCATION: REMOTE - Germany

 

RESPONSIBILITIES

 

  • Articulate our unique value proposition and technology differentiation.
  • Demonstrate Kore.ai Platform features and pre-build Solution products.
  • Whiteboard the solution and review architecture, performance, and scalability requirements.
  • Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform.
  • Facilitate and drive use case workshops with prospective customers.
  • Analyze conversational UX use cases for feasibility and value creation for the client.
  • Prepare a high-level estimate of effort involved and skills needed from a machine learning perspective for a specific customer engagement.
  • Work closely with product management to provide input and guidance for product roadmap and enhancements
  • Work closely with the delivery teams to seamlessly transition from sales to delivery activities and ensure customer success
  • Develop and maintain relationships with prospect and customer technical contacts.
  • Work closely with Sales team as a technical resource & solutions consultant to pursue business opportunities.

 

EXPERIENCE / SKILLS REQUIRED

 

MUST HAVE SKILLS

  • Minimum 5 years of experience in a client-facing sales engineer/presales/solution architect technical role required
  • Minimum 5 years of experience participating in the sales cycle at a technology company required
  • Technical experience preferably sales-engineering &/or web-development experience required
  • Strong technical acumen & ability to learn new patterns, spaces and domains quickly required
  • Ability to understand our client’s challenging business problems and frame up a crisp solution required
  • Experience with languages such as Python, Java, JavaScript, and Linux shell scripts required
  • Excellent communication skills need to articulate technical capabilities to business users and business requirements to technology teams

 

  • Location: Must currently reside in Germany
  • Languages: Fluent in German & English - Candidates must be able to conduct meetings, presentations and written communications in both languages.

 

MUST HAVE ONE OR MORE OF THE FOLLOWING SKILLS

 

  • Previous experience in contact center technologies (CCAAS, IVR, ITR, Chatbots/IVA, etc).
  • Previous experience in RPA or Process Automation
  • Previous experience in Generative AI or ML technologies preferably using LLM’s.

 

OTHER SKILLS:

  • Confidence and strong presentation skills to drive large portions of long customer meetings
  • Strong customer presence, especially with senior client executives
  • Approachable and someone who loves to work a room and build relationships
  • A consultant mindset to identify and frame customer solutions
  • Proven track record selling enterprise ai deals
  • Exceptional listener
  • Willing to travel up to 50% of time
  • Strong verbal and written communication
  • Strong analytical and problem-solving capabilities
  • Highly organized, detail-oriented, and self-motivated
  • Able to thrive in a high-growth, fast-paced environment

 

EDUCATION QUALIFICATION

 

  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field required


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